Skip to main content
BuildBetter provides powerful filtering and analysis capabilities to help you find exactly what you’re looking for in your sea of customer feedback. From simple keyword searches to advanced AI-powered clustering, you have the tools to uncover meaningful patterns.

​
Quick Filtering

Access common filters from the main signals page:

Interaction Type

Internal: Team discussions and meetingsExternal: Customer conversations and feedback

Extraction Method

Automatic: AI-extracted insightsManual: User-created signals

Time Period

Presets: Today, 7 days, 30 days, 90 daysCustom: Select any date range

Signal Types

Multi-select from available types like feature requests, bugs, complaints, praise

​
Advanced Filtering

​
Filter Panel Options

The left sidebar provides comprehensive filtering capabilities:
  • Content Filters
  • Property Filters
  • Entity Filters
  • Metadata Filters
Topics
  • Search and select from extracted topics
  • Auto-complete suggestions as you type
  • See count of signals for each topic
Keywords
  • Filter by specific terms mentioned
  • Combine multiple keywords
  • Include or exclude options
Tags
  • Custom labels applied by your team
  • Hierarchical tag organization
  • Quick toggle for common tags

​
Smart Filters (AI-Powered)

Use natural language to describe what you’re looking for:
1

Open Smart Filter

Click the “Smart Filter” button or press / to activate
2

Describe Your Query

Type naturally: “Show me negative feedback about onboarding from enterprise customers in the last month”
3

Review Generated Filters

AI converts your description into structured filters you can further adjust
4

Save for Reuse

Save complex filter combinations as named filters for quick access
Smart Filters understand context like “recent” (last 7 days), “critical” (high severity), and “upset customers” (negative sentiment).

​
Visual Analysis Tools

​
Time-Series Analysis

Track signal trends over time:
  • View signal volume by day, week, or month
  • Compare multiple signal types
  • Identify trending issues or improvements
  • Overlay with product releases or events
Break down signals by:
  • Type distribution
  • Sentiment analysis
  • Severity levels
  • Company or persona
  • Custom properties
  • Sentiment vs. Severity matrix
  • Topic frequency by time period
  • Company engagement patterns
  • Feature request clustering

​
AI-Powered Clustering

BuildBetter’s clustering feature automatically groups related signals: How Clustering Works
  1. AI analyzes signal content and context
  2. Groups similar feedback into themes
  3. Identifies unique patterns within groups
  4. Provides cluster summaries and insights
Cluster Visualization
  • Pie Charts: See distribution of themes
  • Drill-Down: Click clusters to explore sub-themes
  • Breadcrumbs: Navigate cluster hierarchy
  • Size Indicators: Understand theme prevalence
Clustering works best with 50+ signals. The AI needs sufficient data to identify meaningful patterns.

​
Sentiment-Severity Matrix

The quadrant view helps prioritize actions: 
High Severity + Negative Sentiment = Critical Issues (Top Priority)
High Severity + Positive Sentiment = Major Wins to Amplify
Low Severity + Negative Sentiment = Minor Annoyances
Low Severity + Positive Sentiment = Nice-to-Have Validations

​
Creating Saved Views

Save complex filter combinations for quick access:
1

Apply Filters

Set up your desired filter combination
2

Save View

Click “Save Current View” and provide a name
3

Set Permissions

Choose personal or team-wide access
4

Quick Access

Access saved views from the dropdown menu

Weekly Review

Last 7 days, all types, sorted by severity

Critical Issues

High severity + negative sentiment

Feature Requests

Type: Feature Request, sorted by frequency

Happy Customers

Positive sentiment + praise type

​
Analyzing Patterns

​
Frequency Analysis

  • Recurring Themes: Identify topics mentioned repeatedly
  • Trending Issues: Spot increasing mention frequency
  • Seasonal Patterns: Understand cyclical feedback
  • Anomaly Detection: Flag unusual spikes or drops

​
Impact Assessment

  • Revenue Impact: Filter by high-value accounts
  • User Segment Analysis: Compare feedback across segments
  • Feature Adoption: Track feedback on new releases
  • Churn Indicators: Identify at-risk patterns

​
Comparative Analysis

  • Period Comparison: This month vs. last month
  • Segment Comparison: Enterprise vs. SMB feedback
  • Sentiment Shifts: Track improving or declining satisfaction
  • Competition Mentions: Monitor competitive feedback

​
Exporting and Sharing

​
Export Options

  • CSV Export
  • Create Dataset
  • Generate Report
  • Export filtered signals with all properties
  • Include source links and citations
  • Custom column selection
  • Bulk data for external analysis

​
Best Practices for Analysis

Start broad, then narrow: Begin with time-based filters, then add properties to focus.
Combine filters thoughtfully: Sentiment + Severity + Company = Actionable insights.
Save useful views: Don’t recreate complex filters—save them for the team.
Regular review cadence: Set weekly or monthly analysis sessions using saved views.
Act on patterns, not outliers: Focus on recurring themes rather than one-off mentions.

​
Analysis Workflows

​
For Product Managers

  1. Filter by feature area topics
  2. Sort by severity and frequency
  3. Group by company tier
  4. Export for roadmap planning

​
For Customer Success

  1. Filter by negative sentiment
  2. Add company revenue data
  3. Sort by churn risk
  4. Create action plans

​
For Leadership

  1. Use time-series for trends
  2. Apply clustering for themes
  3. Filter by business impact
  4. Generate executive reports
Remember that AI-extracted signals may need verification. Always review source material for critical decisions.
The filtering and analysis tools in BuildBetter transform raw feedback into actionable intelligence, helping you make data-driven decisions that truly reflect your customers’ needs.